Llama 3.1 70B Instruct

Llama 3.1 70B Instruct by Meta excels in the Coding category, where it ranks #264 with a composite score of 32/100. Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong performance compared to leading closed-source models in human evaluations. To read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/). It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Llama 3.1 70B Instruct is priced at $0.40 per million input tokens and $0.40 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Llama 3.1 70B Instruct holds rank #264 out of 6 models tracked. Its quality rank is #264 and adoption rank is #264. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Llama 3.1 70B Instruct has been evaluated across 6 different signals. Its strongest areas include Capabilities (43/100), Context Window (81/100), Output Capacity (20/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 32/100 reflects a weighted combination of all tracked signals.

Llama 3.1 70B Instruct is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Meta's website for current free tier availability and promotional offers.